jaidaken
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Includes 30 custom nodes committed directly, 7 Civitai-exclusive loras stored via Git LFS, and a setup script that installs all dependencies and downloads HuggingFace-hosted models on vast.ai. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
31 lines
1.1 KiB
Python
31 lines
1.1 KiB
Python
from ..utils import common_annotator_call, define_preprocessor_inputs, INPUT
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import comfy.model_management as model_management
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import numpy as np
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class MLSD_Preprocessor:
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@classmethod
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def INPUT_TYPES(s):
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return define_preprocessor_inputs(
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score_threshold=INPUT.FLOAT(default=0.1, min=0.01, max=2.0),
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dist_threshold=INPUT.FLOAT(default=0.1, min=0.01, max=20.0),
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resolution=INPUT.RESOLUTION()
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)
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RETURN_TYPES = ("IMAGE",)
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FUNCTION = "execute"
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CATEGORY = "ControlNet Preprocessors/Line Extractors"
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def execute(self, image, score_threshold, dist_threshold, resolution=512, **kwargs):
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from custom_controlnet_aux.mlsd import MLSDdetector
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model = MLSDdetector.from_pretrained().to(model_management.get_torch_device())
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out = common_annotator_call(model, image, resolution=resolution, thr_v=score_threshold, thr_d=dist_threshold)
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return (out, )
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NODE_CLASS_MAPPINGS = {
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"M-LSDPreprocessor": MLSD_Preprocessor
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}
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NODE_DISPLAY_NAME_MAPPINGS = {
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"M-LSDPreprocessor": "M-LSD Lines"
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} |